AI searches 100 million Hubble images in 2.5 days, finding ~1,400 anomalies including 800+ never described
ESA researchers (Astronomy & Astrophysics, Dec 2025) used AnomalyMatch to scan 99.6 million Hubble Legacy Archive cutouts in about 2.5 days. They found ~1,400 anomalous objects, over 800 previously undescribed, including 86 new candidate gravitational lenses, jellyfish and ring galaxies, and objects that defy classification.
Key facts
- 99.6M image cutouts in ~2.5 days
- ~1,400 anomalies; >800 not previously described; 86 candidate gravitational lenses
- Humans inspected all flagged images
Science result
- Field
- astronomy / galaxy morphology / anomaly detection
- Problem
- Finding rare objects in huge archival datasets
- Result
- Hundreds of new anomalous astronomical objects identified in the Hubble archive.
- AI system
- AnomalyMatch
- Human role
- Human-led with AI tools: AI flagged, humans classified
- Verification
- Peer-reviewed in Astronomy & Astrophysics; lens candidates need follow-up
- Status
- confirmed
What happened
A semi-supervised anomaly detector swept the full Hubble archive, and experts reviewed the top-ranked oddities.
Why it matters
It shows the AI-first search pattern that surveys such as Rubin/LSST and Euclid will depend on.
Changelog
- 2026-09-29: created
Related events
Sources (3)
- officialESA/Hubble: heic2603
- officialESA: 1,400 quirky objects found in Hubble's archive
- paperarXiv 2505.03508
id: 2025-12-01-ai-finds-1400-anomalies-hubble-archive · updated 2026-09-29 · open in the interactive timeline